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Title: Spatiotemporal variations and influence factors of greenhouse gas carbon dioxide over China using satellite measurements

Authors: Yanfang Hou; Litao Wang; Yi Zhou; Shixin Wang; Fuli Yan; Wenliang Liu; Jinfeng Zhu

Addresses: Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China ' Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China ' Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China ' Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China ' Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China ' Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China ' Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

Abstract: Spatiotemporal distributions of CO2 obtained from the greenhouse gases observing satellite (GOSAT) over China from 2010 to 2017 and influence factors are presented in this study. It shows an annual increase and a seasonal cycle. The CO2 annual growth rate was about 2.34 ppm year−1, with the highest value being in spring and the lowest in autumn. Yearly variations in the CO2 over eight economic regions are prominent, the regions with higher CO2 concentration also have higher increase rate. Some factors affecting variations in CO2 are analysed in this study. There is a stronger negative relationship between CO2 and MODIS vegetation products. Population density and energy consumption are anthropogenic factors in increasing CO2 concentration, and CO2 variation shows a high correlation with population density in eight economic regions [coefficient of determination (R2) = 0.76]. CO2 and energy consumption also have a better correlation (R2 > 0.66) in the most regions.

Keywords: GOSAT; remote sensing; CO2; spatiotemporal variations; regional change characteristics; influence factors; China.

DOI: 10.1504/IJGW.2021.112487

International Journal of Global Warming, 2021 Vol.23 No.1, pp.43 - 57

Received: 10 Dec 2019
Accepted: 09 Jun 2020

Published online: 08 Jan 2021 *

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